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基于残肢肌肉活动的经桡动脉假体控制方法及其与本体感觉反馈的关系。

Control Methods for Transradial Prostheses Based on Remnant Muscle Activity and Its Relationship with Proprioceptive Feedback.

机构信息

Department of Robotics, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.

出版信息

Sensors (Basel). 2020 Aug 28;20(17):4883. doi: 10.3390/s20174883.

Abstract

The loss of a hand can significantly affect one's work and social life. For many patients, an artificial limb can improve their mobility and ability to manage everyday activities, as well as provide the means to remain independent. This paper provides an extensive review of available biosensing methods to implement the control system for transradial prostheses based on the measured activity in remnant muscles. Covered techniques include electromyography, magnetomyography, electrical impedance tomography, capacitance sensing, near-infrared spectroscopy, sonomyography, optical myography, force myography, phonomyography, myokinetic control, and modern approaches to cineplasty. The paper also covers combinations of these approaches, which, in many cases, achieve better accuracy while mitigating the weaknesses of individual methods. The work is focused on the practical applicability of the approaches, and analyses present challenges associated with each technique along with their relationship with proprioceptive feedback, which is an important factor for intuitive control over the prosthetic device, especially for high dexterity prosthetic hands.

摘要

失去一只手会严重影响一个人的工作和社交生活。对于许多患者来说,假肢可以提高他们的活动能力和日常活动的自理能力,同时也提供了保持独立的手段。本文广泛回顾了现有的生物传感方法,以实现基于残肢肌肉测量活动的桡骨假肢控制系统。涵盖的技术包括肌电图、磁肌图、电阻抗断层成像、电容感应、近红外光谱、超声肌图、光学肌图、力肌图、声肌图、运动控制以及电影成型的现代方法。本文还涵盖了这些方法的组合,在许多情况下,这些组合可以提高准确性,同时减轻单个方法的弱点。这项工作侧重于方法的实际适用性,并分析了与每个技术相关的现有挑战,以及它们与本体感觉反馈的关系,本体感觉反馈是对假肢设备进行直观控制的一个重要因素,特别是对于高灵巧度的假肢手。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f46e/7506660/8d21f878a972/sensors-20-04883-g001.jpg

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